DocumentCode
1084626
Title
On the convergence of an EM-type algorithm for penalized likelihood estimation in emission tomography
Author
De Pierro, Alvaro R.
Author_Institution
Dept. of Appl. Math., State Univ. of Campinas, Brazil
Volume
14
Issue
4
fYear
1995
fDate
12/1/1995 12:00:00 AM
Firstpage
762
Lastpage
765
Abstract
Recently, we proposed an extension of the expectation maximization (EM) algorithm that was able to handle regularization terms in a natural way. Although very general, convergence proofs were not valid for many possibly useful regularizations. We present here a simple convergence result that is valid assuming only continuous differentiability of the penalty term and can be also extended to other methods for penalized likelihood estimation in tomography
Keywords
convergence of numerical methods; emission tomography; maximum likelihood estimation; positron emission tomography; EM-type algorithm; continuous differentiability; convergence; convergence proofs; emission tomography; expectation maximization algorithm; penalized likelihood estimation; penalty term; regularization terms; regularizations; simple convergence result; Convergence; Detectors; Image reconstruction; Mathematics; Maximum likelihood detection; Maximum likelihood estimation; Positron emission tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.476119
Filename
476119
Link To Document